Best Technographic Datasets in 2026 (Compared)

Technographic data — information about what technologies companies use — is a cornerstone of modern B2B sales, marketing, and market intelligence. Whether you need to enrich your CRM, build targeted prospect lists, or analyze technology adoption trends, having access to bulk technographic data is essential.

In this guide, we compare the top technographic dataset providers in 2026, covering technology coverage, detection methods, data freshness, pricing, and delivery options.

Quick Comparison: Top Technographic Datasets in 2026Copy Anchor Link

Capability	TheirStack	BuiltWith	Coresignal	HG Insights	Bright Data	Wappalyzer	Enlyft
🔍Technology coverage	✅33k+ technologies (web + backend + internal)	✅124,395+ technologies (web/frontend only)	⚠️Limited (LinkedIn-derived)	✅20,000+ technologies (install base)	⚠️Per-source web scraping	⚠️8,166 technologies (web only)	✅30,000+ technologies
🖥️Backend tech detection	✅Yes (job-based: databases, DevOps, ERPs)	❌No (frontend only)	❌No (web scanning)	✅Yes (install base data)	❌No (web scraping)	❌No (frontend only)	✅Yes (AI-based detection)
🎯Intent signals	✅Yes (hiring = buying signal)	❌No (static detection)	❌No	❌No (install base only)	❌No	❌No	⚠️Predictive scoring
🛒Self-serve access	✅Yes (free tier + self-serve plans)	✅Yes (from $295/mo)	✅Yes (from $49/mo)	❌No (enterprise sales only)	✅Yes (usage-based)	✅Yes (from $250/mo)	❌No (enterprise sales only)
📦Export & bulk delivery	✅API + CSV/JSON exports + webhooks	✅CSV lead lists + API	⚠️API only	✅CRM integrations + data feeds	✅API + cloud delivery	⚠️API + CSV downloads	⚠️CRM integrations

Legend: ✅ built-in · ❌ not supported · ⚠️ possible but requires DIY/custom work

Detailed Review of Each Technographic Dataset ProviderCopy Anchor Link

1. TheirStackIntent-driven prospecting and enrichment

TheirStack takes a unique approach to technographic data by analyzing millions of job postings worldwide. Instead of only scanning websites for frontend technologies, it reveals what technologies companies are actively hiring for, implementing, and expanding. This means you get buying intent signals alongside comprehensive tech stack data — including backend technologies that website scanners miss entirely.

Strengths

• ✓Detects backend and internal technologies (databases, DevOps, ERPs) from job postings — not just web-facing tech
• ✓Hiring signals act as buying intent — know what companies are investing in, not just using
• ✓Global coverage: 257M+ job postings analyzed from 195 countries, sourced from 366k+ sources
• ✓Continuous updates — 73% of new postings are discovered the same day they are published, so new technology adoptions surface within hours, not weeks
• ✓Built-in deduplication across all 366k+ sources — the same job posted on multiple platforms counts once, saving credits and eliminating noise
• ✓Single fast API with 40+ filters, webhooks, and sub-second response times
• ✓Both UI and API — explore data interactively at app.theirstack.com or integrate programmatically, no engineering resources required to get started
• ✓Official MCP server for AI-native workflows — query technographic and job data directly from Claude, Cursor, or any MCP-compatible agent
• ✓Bulk datasets available for warehouse ingestion — download or schedule delivery of full data exports
• ✓Self-serve transparent pricing starting free, with plans from $49/mo and one-time purchases available — no subscription required

Considerations

• ℹTechnology detection relies on active hiring — companies not posting jobs may have less coverage — TheirStack's detection method depends on companies publishing job postings that mention technologies. Companies in hiring freezes or very small teams that rarely post jobs may have less coverage compared to website scanning approaches.

Pricing: Free / $49/mo (one-time purchases available) (free tier available)TheirStack →

2. BuiltWithBulk web technology analysis and warehouse ingestion

BuiltWith is one of the most established technographic data providers, known for scanning websites to detect frontend technologies. It excels at identifying client-side tools like analytics scripts, marketing pixels, ecommerce platforms and JavaScript frameworks; teams that need the backend stack, or signals from what a company is hiring for, look elsewhere.

Strengths

• ✓Largest web technology database with 127,787+ tracked technologies
• ✓Historical technology tracking showing adoption and abandonment over time
• ✓Market share reports and technology penetration data
• ✓Bulk ZIP files with technology usage history, metadata, and redirect data for offline analysis
• ✓Free sample dataset on AWS Data Exchange; full datasets are bought on builtwith.com
• ✓One-time purchase option — buy a dataset snapshot without committing to a subscription

Considerations

• ℹLimited to what a website exposes — BuiltWith detects technologies from the signals public websites give off, which is ideal for client-side tools like Google Analytics or Shopify. Back-office suites show up only through their web footprint (Odoo as a website CMS, an AFAS portal, NetSuite mail or hosting), and databases like PostgreSQL, data warehouses like Snowflake or DevOps tools like Kubernetes never appear. If your workflow depends on the backend stack, you need a different source.
• ℹIntent read from the website, after the change — Actionable Insights flags companies about to buy, switch or expand from changes in their website stack, but a change only shows once a tool is live on the site. Hiring is an earlier signal: a company recruiting Snowflake engineers is investing before anything reaches its website, and job-based providers read that.
• ℹPriced per plan, not per company — list building starts at $295 for a month covering 2 technologies, with companies inside them not metered. That is good value for very large lists of one or two web technologies, and a high entry price for a campaign of a few thousand companies, where per-record pricing costs less.
• ℹSprawling API with shallow firmographic filtering — the surface is 27 separately documented endpoint products, and while the Lists API narrows by country, traffic rank, employee estimates and eCommerce revenue, it cannot filter by industry or funding (industry filters live only in the web reports). There are no webhooks either — change tracking means polling the Change API or relying on email and Slack alerts.
• ℹPriced for enterprise budgets — one-time snapshots carry public prices of roughly $7K–$34K each (all live Shopify sites: $12,950), a big step up from per-record self-serve alternatives
• ℹLimited to web-facing technologies — bulk datasets inherit the same frontend-only detection limitation, missing backend tech stacks

Pricing: $295/mo (free tier available)BuiltWith →

3. CoresignalEmployee and company data at scale

Coresignal is a B2B data infrastructure provider best known for its large employee and company datasets. Its jobs product now spans multiple sources with cross-source merging, but access stays API-first: a search-then-collect flow, a prompt-driven AI Data Search in the dashboard rather than a filterable interface, and monthly credits that expire on the lower plans.

Strengths

• ✓486M+ job postings archived since 2020, active and expired
• ✓Multi-source jobs dataset merges records from job boards, company websites, and ATS platforms into one canonical listing
• ✓Jobs cost 1 credit per record, the cheapest record type in their unified credit pool
• ✓Two high-volume plans price credits aggressively — Scale at $3,000 for 4M credits ($0.00075 each) and Elite at $5,000 for 10M ($0.0005 each), below any per-record API rate
• ✓Flexible delivery formats — technographic data available as flat files and JSON with customizable delivery frequency
• ✓Records include stack lists, feature breakdowns, and counts of companies using each tool

Considerations

• ℹVolume figures are not reconcilable: "500,000+ job listings added daily" sustained since 2020 would be over 1B postings, not the 486M+ they report; the same page advertises daily discovery access to about 1.3M jobs, and the Jobs API page says 1 million a day and 52M+ active jobs rescraped every 24 hours. None of the four figures defines whether it counts unique postings, one row per source, or updates.
• ℹThey will not say publicly what their jobs come from — the multi-source data dictionary enumerates only "professional network", "indeed" and "glassdoor", and every coverage page says "job boards, company websites, and ATS" without naming one of them or giving a count. A source list you cannot read is a source list you cannot verify, and none of it is checkable against the 366k+ company career pages, job boards and ATS platforms alternatives name outright.
• ℹNo filterable user interface — the dashboard offers a prompt-driven AI Data Search (previews of 20 records for 20 credits, not available on Mini or Starter; exports up to 10,000 enriched records) and API playgrounds that edit the generated request, so refining a list means re-prompting or editing a query rather than clicking filters.
• ℹMonthly credits expire below Premium — on Mini, Starter, Pro, and Growth plans unused credits reset every month with no rollover, so bursty workloads pay for capacity they never use.
• ℹDataset pricing starts at $1,000/month and requires a sales conversation — no self-serve dataset purchase available
• ℹOnly 5M+ technographic records, so coverage thins out quickly outside the largest companies

Pricing: $49/moCoresignal →

4. HG InsightsSnowflake-native teams needing bulk technographic data for warehouse analytics

HG Insights is an enterprise technology intelligence provider known for TAM analysis and install base data. While it's powerful for strategic market sizing, many teams find its enterprise-only pricing ($31K+/year), sales-led buying process, and lengthy implementation challenging.

Strengths

• ✓Comprehensive enterprise technology install base data across 25M+ companies
• ✓AI-powered technology spend estimation for budget planning
• ✓Native CRM integrations with Salesforce and Dynamics
• ✓Industry-level technology adoption reports and market analytics
• ✓Native Snowflake Data Share eliminates ETL — technographic and firmographic data appears directly in your Snowflake warehouse without file transfers or pipeline maintenance
• ✓Bi-directional integrations allow controlled sync of which data fields update and how often

Considerations

• ℹEnterprise-only pricing — HG Insights typically costs $31,000 or more per year, with no self-service option. For startups, SMBs, or teams that need technographic data without a five-figure annual commitment, this pricing is prohibitive. Several alternatives offer comparable technology intelligence starting from free tiers or $49/month.
• ℹSales-led buying process — Getting started with HG Insights requires demos, negotiations, and procurement cycles that can take weeks or months. Modern teams often prefer self-serve platforms where they can evaluate the product, test the API, and start getting value within minutes — not weeks.
• ℹNo real-time intent signals — HG Insights focuses on install base data — what technologies companies have deployed. It doesn't provide real-time buying intent signals like hiring data. For sales teams, knowing that a company is actively hiring Snowflake engineers (a signal they're expanding their data infrastructure) is often more actionable than knowing they have Snowflake installed.
• ℹOpaque data methodology — HG Insights uses proprietary AI and machine learning to detect technology usage, but provides less transparency about its data sources and methodology compared to alternatives. This can make it harder to validate data accuracy for specific use cases or explain results to stakeholders.
• ℹSnowflake-only dataset delivery — bulk data access requires Snowflake. Teams using BigQuery, Redshift, or Databricks must go through the API or request custom delivery arrangements.
• ℹNo self-serve dataset purchase — accessing bulk data requires an enterprise sales conversation and contract.

Pricing: ~$31,000/yearHG Insights →

5. Bright DataTeams with engineering resources who need custom website technology scanning at scale

Bright Data is a web data infrastructure platform offering proxies, scrapers, and a dataset marketplace. It provides raw data collection capabilities that can be customized for any signal type — including job data as a side offering — though it requires more development effort and has seconds-to-minutes response times compared to pre-indexed APIs.

Strengths

• ✓Full-stack web scraping infrastructure capable of extracting technology signals from any public website
• ✓Web Scraper IDE allows custom scraper development for technology detection without managing infrastructure
• ✓Enterprise-grade reliability (99.99% uptime SLA) with automatic CAPTCHA solving and IP rotation

Considerations

• ℹNo dedicated technographic product — Bright Data does not sell a packaged technographic dataset or API. You must build your own technology detection logic on top of their scraping infrastructure, which requires significant engineering effort.
• ℹWeb-facing technologies only — Even with custom scrapers, website scanning only detects front-end technologies (JavaScript frameworks, analytics, CDNs). Internal tools like CRMs, databases, ERPs, and programming languages are invisible to this approach. Job-based providers detect these from hiring signals.
• ℹNo pre-built technology taxonomy — Unlike dedicated technographic providers that maintain curated catalogs of technologies, Bright Data provides raw HTML/data. You must build and maintain your own technology classification system.

Pricing: Variable (free tier available)Bright Data →

6. WappalyzerQuick website tech checks and lightweight API usage

Wappalyzer is a popular technology detection tool known for its free browser extension and developer-friendly API. While it's great for quick website tech checks, many teams outgrow it when they need deeper technology intelligence, backend tech detection, buying intent signals, or hiring signals.

Strengths

• ✓Free browser extension for instant website technology identification
• ✓Clean, developer-friendly API with simple integration
• ✓More affordable than BuiltWith for basic technology lookups
• ✓Open-source heritage with active community contributions
• ✓Lead lists filter by up to 50 technologies with and/or/not logic plus industry, company size, traffic, country, language and top-level domain, hold up to 500,000 leads each, and can be automated through the Lists API

Considerations

• ℹSmaller technology database than some competitors — Wappalyzer tracks 8,166 web technologies across 106 categories. While this covers the most common tools, it's significantly less than BuiltWith (127K+) and narrower than TheirStack, which detects thousands of technologies including backend tools from job postings. If you need comprehensive coverage of niche or enterprise software, Wappalyzer's database may leave gaps.
• ℹFrontend-only detection — Like all website scanning tools, Wappalyzer can only detect technologies visible in a site's client-side code. It misses backend databases, data warehouses, DevOps tools, internal business software, and programming languages. For a complete picture of a company's tech stack, you need a different detection methodology.
• ℹNo hiring signals — Wappalyzer's signals come from websites: alerts when a monitored site adds or drops a technology, and up to 12 months of lookup history. It has no job-posting data, so it can't show which teams a company is growing or what it is hiring people to build.

Pricing: $10/mo (free tier available)Wappalyzer →

7. EnlyftEnterprise technology install base intelligence with predictive scoring

Enlyft is a B2B account intelligence platform that uses AI and web crawlers to identify companies using specific technologies, now positioned around partner-ecosystem selling. It tracks 24,000+ technologies across 45M+ companies, with 300M+ contacts and Bombora-powered buying intent signals. While its technology coverage and predictive analytics are strong, it lacks job data, requires enterprise pricing with no public tiers, and offers limited API capabilities compared to developer-first platforms.

Strengths

• ✓Web-crawler-based technology detection across 45M+ companies with high-confidence threshold
• ✓Tracks 24,000+ technologies including backend, enterprise, and cloud software across 500+ account attributes
• ✓AI-powered propensity models for account scoring and prioritization based on technology signals
• ✓Native CRM integrations with Salesforce, Dynamics 365 and HubSpot for real-time enrichment
• ✓Global coverage with nearly 50% non-North American data

Considerations

• ℹNo self-serve access or transparent pricing — Enlyft publishes no pricing page, and dollar amounts require a sales conversation. Teams that want to evaluate data quality before committing face a longer procurement cycle compared to self-serve platforms.
• ℹNo job data or hiring signals — Enlyft focuses on web-crawled technology install base data but doesn't provide job posting data or hiring intent signals. Teams that need to understand what companies are actively investing in through hiring will need to supplement with a dedicated job data provider like TheirStack.
• ℹEnrichment-shaped API only — Enlyft's v2 API enriches organizations and persons you already identify by domain, id, or email; there is no endpoint to discover companies by technology, no webhooks, bulk retrieval runs as asynchronous jobs, and API keys are issued by emailing support. Teams needing high-volume programmatic discovery will find the integration options limited.
• ℹInferred install data, not spend commitments — detection mines public web pages and documents for usage associations (reaching backend products like SAP ERP), but a crawled mention is weaker evidence of active investment than a job posting hiring for the technology.

Pricing: Enterprise pricingEnlyft →

How to Choose the Right Technographic DatasetCopy Anchor Link

Consider Your Primary Use CaseCopy Anchor Link

Key Questions to AskCopy Anchor Link

1. Do you need backend technology detection? Website scanners (BuiltWith, Wappalyzer) only detect frontend technologies. For databases, DevOps tools, ERPs, and internal systems, you need job-based detection (TheirStack) or enterprise install base data (HG Insights).

2. Do you need intent signals? If knowing what companies are investing in matters more than what they currently use, choose TheirStack — hiring for a technology is a strong buying signal.

3. What's your budget? TheirStack and Coresignal offer affordable entry points. BuiltWith and Wappalyzer are mid-range. HG Insights and Enlyft require enterprise contracts ($25K+/year).

4. Do you need self-serve access? TheirStack, BuiltWith, Wappalyzer, Coresignal, and Bright Data offer self-serve plans. HG Insights and Enlyft require sales conversations.

5. How will you use the data? For CRM enrichment, API access matters. For market research, bulk exports matter. For real-time prospecting, webhooks and alerts matter. TheirStack offers all three.

Website Scanning vs. Job-Based TechnographicsCopy Anchor Link

There are two fundamentally different approaches to collecting technographic data:

Website Scanning (BuiltWith, Wappalyzer)Copy Anchor Link

Crawls websites and analyzes client-side code, HTTP headers, and DNS records.

• Detects: Analytics tools, marketing pixels, JavaScript frameworks, CMS platforms, CDNs
• Misses: Databases, data warehouses, DevOps tools, ERPs, internal business software
• Signal type: Static — tells you what's installed, not what's being invested in

Job-Based Detection (TheirStack)Copy Anchor Link

Analyzes job postings to extract technology mentions from requirements and descriptions.

• Detects: Backend databases (Snowflake, PostgreSQL), DevOps (Kubernetes, Terraform), internal tools (SAP, Workday), plus web technologies
• Signal type: Intent — companies hiring for a technology are actively investing in it

The best approach combines both. TheirStack covers 33k+ technologies including many that website scanners detect, giving you the broadest coverage with built-in intent signals.

Learn more: What is Technographic Data and How to Get It

Common Use Cases for Technographic DatasetsCopy Anchor Link

1. Sales Prospecting by Tech StackCopy Anchor Link

Build highly targeted prospect lists based on technology usage:

• "Companies using Salesforce but not a CPQ solution"
• "Companies hiring for data engineers who use Snowflake"
• "Companies that recently adopted HubSpot"

TheirStack adds intent: target companies actively hiring for technologies related to your product.

2. Account-Based Marketing (ABM)Copy Anchor Link

Technographic data enables precise account targeting:

• Target companies using competitor technologies
• Find companies with complementary tech stacks
• Prioritize accounts based on technology adoption signals

3. CRM EnrichmentCopy Anchor Link

Enrich your existing company records with technology data:

• Add tech stack information to Salesforce or HubSpot accounts
• Score leads based on technology fit
• Trigger workflows when target accounts adopt new technologies

4. Market Research and TAM AnalysisCopy Anchor Link

Quantify technology markets and trends:

• Count companies using specific technologies by industry and size
• Track technology adoption and abandonment trends over time
• Analyze competitive market share across technology categories

5. Competitive IntelligenceCopy Anchor Link

Monitor technology shifts in your market:

• Track adoption of your product vs. competitors
• Identify companies switching technologies
• Spot emerging technology trends before they go mainstream

Frequently Asked QuestionsCopy Anchor Link

ConclusionCopy Anchor Link

The best technographic dataset for you depends on your specific needs:

• For intent-driven sales and full-stack technology coverage: TheirStack offers job-based technology detection that covers backend and internal technologies, with real-time updates and affordable self-serve pricing.

• For frontend website technology detection: BuiltWith and Wappalyzer excel at identifying client-side technologies from website source code.

• For enterprise TAM analysis: HG Insights provides comprehensive install base data and technology spend estimation.

• For AI-powered install base intelligence: Enlyft offers predictive analytics and CRM integrations for enterprise teams.

TheirStack's job-based approach is uniquely valuable because it reveals not just what companies use, but what they're actively investing in — a much stronger signal for sales and marketing teams.

Ready to explore technographic data? Sign up for a free TheirStack account and start discovering what technologies your target companies use and invest in.